Simon Kunz
E440009
Simon Kunz is a British actor known for his character roles in film, television, and theatre, including appearances in productions such as "The Bible" miniseries and "Four Weddings and a Funeral."
All labels observed (1)
| Label | Occurrences |
|---|---|
| Simon Kunz canonical | 2 |
How this entity was disambiguated
This entity first appeared as the object of triple T4440638 — resolving that mention is where its identity was fixed. The disambiguator weighed these candidate entities and picked the highlighted one (or “None”, minting a new entity). This is how homonymy is resolved: the same surface form can point to different entities.
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Simon Kunz Context triple: [The Bible (2013 TV miniseries), starred, Simon Kunz]
-
A.
Markus Morgenstern
Markus Morgenstern is a mathematician known for his contributions to combinatorics and graph theory.
-
B.
Alexander Zuntz
Alexander Zuntz was an early New York financier and broker who was among the founding figures of what became the New York Stock Exchange.
-
C.
Robert Hartmann
Robert Hartmann is a technology entrepreneur best known as a founder of the semiconductor company Altera.
-
D.
Peter Zinner
Peter Zinner was an Austrian-born American film editor renowned for his work on major Hollywood films, including classics like The Deer Hunter and The Godfather.
-
E.
Marten Wassmann
Marten Wassmann is an architect known for his partnership role at the Dutch architecture firm Benthem Crouwel Architekten.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Simon Kunz Target entity description: Simon Kunz is a British actor known for his character roles in film, television, and theatre, including appearances in productions such as "The Bible" miniseries and "Four Weddings and a Funeral."
-
A.
Markus Morgenstern
Markus Morgenstern is a mathematician known for his contributions to combinatorics and graph theory.
-
B.
Alexander Zuntz
Alexander Zuntz was an early New York financier and broker who was among the founding figures of what became the New York Stock Exchange.
-
C.
Robert Hartmann
Robert Hartmann is a technology entrepreneur best known as a founder of the semiconductor company Altera.
-
D.
Peter Zinner
Peter Zinner was an Austrian-born American film editor renowned for his work on major Hollywood films, including classics like The Deer Hunter and The Godfather.
-
E.
Marten Wassmann
Marten Wassmann is an architect known for his partnership role at the Dutch architecture firm Benthem Crouwel Architekten.
- F. None of above. chosen
Statements (35)
| Predicate | Object |
|---|---|
| instanceOf |
actor
ⓘ
film actor ⓘ human ⓘ stage actor ⓘ television actor ⓘ |
| activeIn |
film
ⓘ
television ⓘ theatre ⓘ |
| countryOfCitizenship | United Kingdom ⓘ |
| fieldOfWork | acting ⓘ |
| gender | male ⓘ |
| genre |
comedy
ⓘ
drama ⓘ |
| hasRole | character actor ⓘ |
| languageOfWorkOrName | English ⓘ |
| notableWork |
Casualty
NERFINISHED
ⓘ
Doctors NERFINISHED ⓘ Ever After NERFINISHED ⓘ Father Brown NERFINISHED ⓘ Four Weddings and a Funeral NERFINISHED ⓘ Four Weddings and a Funeral (1994 film) NERFINISHED ⓘ Midsomer Murders NERFINISHED ⓘ My Family NERFINISHED ⓘ The Alienist NERFINISHED ⓘ The Bible NERFINISHED ⓘ The Bible (2013 miniseries) NERFINISHED ⓘ The Bill NERFINISHED ⓘ The Bletchley Circle NERFINISHED ⓘ The Crown NERFINISHED ⓘ The Last Kingdom NERFINISHED ⓘ The Merchant of Venice NERFINISHED ⓘ The Parent Trap NERFINISHED ⓘ The Young Victoria NERFINISHED ⓘ |
| occupation | actor ⓘ |
| workLocation | United Kingdom ⓘ |
How these facts were elicited
The pipeline generated the facts above by prompting gpt-5.1 with this entity's name + description and the instruction below.
Instruction
You are a knowledge base construction expert. Given a subject entity and a description of it, return factual statements that you know for the subject as a JSON list of dictionaries(triples), where keys must be "subject", "predicate" and "object". The number of facts may be very high, between 25 to 50 or more, for very popular subjects. For less popular subjects, the number of facts can be very low, like 5 or 10. # Requirements - If you don't know the subject at all, return an empty list. - If the subject is not a named entity, return an empty list. - Include at least one triple where predicate is "instanceOf". - Do not get too wordy. - Separate several objects into multiple triples with one object.
Input
Subject: Simon Kunz Description of subject: Simon Kunz is a British actor known for his character roles in film, television, and theatre, including appearances in productions such as "The Bible" miniseries and "Four Weddings and a Funeral."
Referenced by (2)
Full triples — surface form annotated when it differs from this entity's canonical label.